The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem
Xiufeng Shao, Jian Zhang, Li Li
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.722How to use a DOI?
- genetic algorithms, hybrid genetic algorithms, product optimization, fitness function
- We introduce basic theory of genetic algorithms in this paper, Build one hybrid genetic algorithms model base on genetic algorithms in solving product optimization problem. And we realize the model by software. The disposal result of real data tells us that the model has good practicability and accuracy to the problem of product optimization problem.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiufeng Shao AU - Jian Zhang AU - Li Li PY - 2013/03 DA - 2013/03 TI - The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering PB - Atlantis Press SP - 2893 EP - 2896 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.722 DO - https://doi.org/10.2991/iccsee.2013.722 ID - Shao2013/03 ER -